reticulate::use_virtualenv("/sci/labs/yotamd/lab_share/avishai.wizel/python_envs/Virtual_env/cnmf_dev/",required = T)
reticulate::py_config() # if you see that r-cnmf_dev has not been loaded, restart/terminate r and try again, DO NOT load reticulate before.
python: /sci/labs/yotamd/lab_share/avishai.wizel/python_envs/Virtual_env/cnmf_dev/bin/python
libpython: /sci/home/avishaiw/.local/share/r-miniconda/envs/r-reticulate/lib/libpython3.8.so
pythonhome: /sci/labs/yotamd/lab_share/avishai.wizel/python_envs/Virtual_env/cnmf_dev:/sci/labs/yotamd/lab_share/avishai.wizel/python_envs/Virtual_env/cnmf_dev
version: 3.8.15 | packaged by conda-forge | (default, Nov 22 2022, 08:49:35) [GCC 10.4.0]
numpy: /sci/labs/yotamd/lab_share/avishai.wizel/python_envs/Virtual_env/cnmf_dev/lib/python3.8/site-packages/numpy
numpy_version: 1.24.4
NOTE: Python version was forced by use_python function
library(ggplotify)
library(stringi)
library(reticulate)
source_from_github(repositoy = "DEG_functions",version = "0.2.53")
source_from_github(repositoy = "cNMF_functions",version = "0.4.23",script_name = "cnmf_functions_V3.R")
source_from_github(repositoy = "sc_general_functions",version = "0.1.34",script_name = "functions.R")
xeno <- qs::qread("./raw_data/xeno.qs")
hif_targets = scan("./raw_data/HIF_targets_Lombardi_PMC9869179.txt", character(), quote = "")
Read 48 items
genesets = getGmt("./raw_data/h.all.v2023.2.Hs.symbols.gmt") %>% geneIds()
genesets[["HIF_targets"]] = hif_targets
all_metagenes = "./output_data/xeno/04_calculate_programs/cell_usage_by_TPM.RDS"
gep_scores = readRDS("./output_data/xeno/04_calculate_programs/gep_scores.RDS")
p1 = DimPlot(xeno,group.by = "orig.ident")+ggtitle("")+ guides(color=guide_legend(title="Model",override.aes = list(size=3)))
p2 = DimPlot(xeno,group.by = "treatment",shuffle = T)+ggtitle("")+ guides(color=guide_legend(title="Treatment",override.aes = list(size=3)))
p1+p2
Warning in grSoftVersion() :
unable to load shared object '/usr/local/lib/R/modules//R_X11.so':
libXt.so.6: cannot open shared object file: No such file or directory
saveRDS(object = as.grob(p1),file = "./Figures/xeno_patient_umap.rds")
saveRDS(object = as.grob(p2),file = "./Figures/xeno_treatment_umap.rds")
library(hypeR)
plotlist = list()
for (i in 1:ncol(gep_scores)) {
print(paste("program",i,"out of",ncol(gep_scores)))
ranked_vec = gep_scores %>% pull(i) %>% setNames(rownames(gep_scores))
hyp_obj <-hypeR_fgsea(signature = ranked_vec,genesets = (genesets),up_only = T)
plt = hyp_dots(hyp_obj,merge = F,fdr = 0.2)+ aes(size=nes)+ggtitle(paste("program", i))+
guides(
size = guide_legend(title="NES",reverse=T))+scale_x_discrete(expand = expansion(add = c(1,2)))
plotlist[[i]] = plt
}
[1] "program 1 out of 5"
[1] "program 2 out of 5"
[1] "program 3 out of 5"
[1] "program 4 out of 5"
[1] "program 5 out of 5"
plotlist = lapply(plotlist,FUN = function(x) { #fix cropped edges
x = x+
theme(plot.margin = margin(0.1,1,0.1,0.01, "cm"))
})
p = ggarrange(plotlist = plotlist,common.legend = T,nrow = 3,ncol = 2)
p
```r
saveRDS(object = as.grob(p),file = \./Figures/xeno_nmf_GSEA.rds\)
<!-- rnb-source-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
# programs expression
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuXG4jYWRkIGVhY2ggbWV0YWdlbmUgdG8gbWV0YWRhdGFcbmZvciAoaSAgaW4gMTpuY29sKGFsbF9tZXRhZ2VuZXMpKSB7XG4gIG1ldGFnZW5lX21ldGFkYXRhID0gYWxsX21ldGFnZW5lc1ssaSxkcm9wPUZdXG4gIHhlbm8gPSBBZGRNZXRhRGF0YShvYmplY3QgPSB4ZW5vLG1ldGFkYXRhID0gbWV0YWdlbmVfbWV0YWRhdGEsY29sLm5hbWUgPSBuYW1lcyhhbGxfbWV0YWdlbmVzKVtpXSlcbn1cblxucCA9IEZlYXR1cmVQbG90KG9iamVjdCA9IHhlbm8sZmVhdHVyZXMgPSBjb2xuYW1lcyhhbGxfbWV0YWdlbmVzKSxuY29sID0gMylcblxucFxuYGBgIn0= -->
```r
#add each metagene to metadata
for (i in 1:ncol(all_metagenes)) {
metagene_metadata = all_metagenes[,i,drop=F]
xeno = AddMetaData(object = xeno,metadata = metagene_metadata,col.name = names(all_metagenes)[i])
}
p = FeaturePlot(object = xeno,features = colnames(all_metagenes),ncol = 3)
p
```r
saveRDS(object = as.grob(p),file = \./Figures/xeno_NMF_usage_UMAP.rds\)
<!-- rnb-source-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
# Heatmap
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin 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 -->
```r
all_programs_top_genes = c()
for (i in 1:(ncol(gep_scores)-1)) {
top_genes = gep_scores %>% arrange(desc(gep_scores[i])) #sort by score a
top = head(rownames(top_genes), 20) #take top top_genes_num
all_programs_top_genes = c(all_programs_top_genes,top)
}
data = FetchData(object = xeno, vars = all_programs_top_genes) %>% scale() %>% t()
annotation_data = FetchData(object = xeno, vars = c(names(all_metagenes)[1:4],"treatment","orig.ident"))
# annotation_data = FetchData(object = xeno, vars =names(all_metagenes)[1:4])
# data = data[,1:1000] #debug
# annotation_data = annotation_data [1:1000,] #debug
col_dend = as.dendrogram(hclust(dist(annotation_data[,1:4]),method = "complete")) # cluster based on 4 programs
col_fun = circlize::colorRamp2(c(0, 1), c("white", "red"))
models_colors = rainbow(6,alpha = 1) %>% set_names(unique(xeno$orig.ident))
column_ha = HeatmapAnnotation(df = annotation_data, col = list(Program.1 = col_fun,Program.2 = col_fun,Program.3 = col_fun,Program.4 = col_fun,unknown = col_fun, treatment = c(NT = "red",OSI = "green",res = "blue"),orig.ident = models_colors))
row_annotation_data = data.frame(row.names = all_programs_top_genes,top_genes = as.character(rep(paste("program",c(1,2,3,4)), each=20)))
row_ha = rowAnnotation(df = row_annotation_data)
p = ComplexHeatmap::Heatmap(
data,
show_column_names = F,
row_names_gp = grid::gpar(fontsize = 7),
cluster_rows = F,
top_annotation =
column_ha,
name = "Z-score expression",use_raster = F,cluster_columns = col_dend,right_annotation = row_ha
)
The automatically generated colors map from the minus and plus 99^th of the absolute values in the matrix. There are outliers
in the matrix whose patterns might be hidden by this color mapping. You can manually set the color to `col` argument.
Use `suppressMessages()` to turn off this message.
```r
saveRDS(object = as.grob(p),file = \./Figures/xeno_NMF_programs_heatmap.rds\)
<!-- rnb-source-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuIyBEZXNjcmlwdGlvblxucFxuYGBgIn0= -->
```r
# Description
p
for (model in unique(xeno$orig.ident)) {
model_data = subset(x = xeno,subset = orig.ident == model)
data = FetchData(object = model_data, vars = c(paste0("Program.", 1:4),"treatment"))
colnames(data)[1:4] = paste(c("IFNa","TNFa-NFKb","HIF","CC"),"program")
# data = data[1:100, ]
col_dend = hclust(dist(data[,1:4],), method = "average") # cluster cells by program expression
# col_dend = hclust(as.dist(cor(t(data[,1:4]))), method = "complete")
data = data[col_dend$order, ] #reorder cells by dendogram
cols <- c("NT" = "red", "OSI" = "green") #make colors
if ("res" %in% unique(data$treatment)) {
cols = c(cols,c("res" = "blue"))
}
data_to_plot = t(data)[1:4,] %>% as.data.frame()
data_to_plot <- mutate_all(data_to_plot, function(x) as.numeric(x))
library(circlize)
column_ha = HeatmapAnnotation(df = data[,5,drop=F], col = list(treatment = c(NT = "red",OSI = "green",res = "blue")))
col_fun = colorRamp2(c(0,1), c("white", "red"))
p = ComplexHeatmap::Heatmap(
data_to_plot,
show_column_names = F,show_row_names = T,
row_names_gp = grid::gpar(fontsize = 7),
cluster_rows = F,
name = "score",use_raster = F,cluster_columns = T, col = col_fun,column_title = model,top_annotation = column_ha,clustering_method_columns = "average"
)
print(p)
}
Warning: The input is a data frame, convert it to a matrix.
Warning: The input is a data frame, convert it to a matrix.
Warning: The input is a data frame, convert it to a matrix.
Warning: The input is a data frame, convert it to a matrix.
Warning: The input is a data frame, convert it to a matrix.
Warning: The input is a data frame, convert it to a matrix.
for (model in unique(xeno$orig.ident)) {
model_data = subset(x = xeno,subset = orig.ident == model)
# line plots
data = FetchData(object = model_data, vars = c(paste0("Program.", 1:4),"treatment"))
colnames(data)[1:4] = paste(c("IFNa","TNFa-NFKb","HIF","CC"),"program")
# data = data[1:100, ]
col_dend = hclust(dist(data[,1:4],), method = "average") # cluster cells by program expression
# col_dend = hclust(as.dist(cor(t(data[,1:4]))), method = "complete")
data = data[col_dend$order, ] #reorder cells by dendogram
data$cell = 1:nrow(data) # cell count
d <- reshape2::melt(data, id = c("cell","treatment"))
cols <- c("NT" = "red", "OSI" = "green") #make colors
if ("res" %in% unique(data$treatment)) {
cols = c(cols,c("res" = "blue"))
}
p = ggplot(d, aes(x = cell, y = value, color = variable)) +
geom_rect(aes(xmin = cell, xmax = cell+1, fill = treatment), # fill colors by treatment
ymin = 0, ymax = 1, alpha = 0.2,data = data, inherit.aes = F) + scale_fill_manual(values = cols)+
geom_line(size = 1) + #plot lines by program expression
theme(axis.text.x = element_blank(),
axis.ticks.x = element_blank())+ggtitle(model)
print(p)
}
NA
NA
NA
for (model in unique(xeno$orig.ident)) {
model_data = subset(x = xeno,subset = orig.ident == model)
# line plots
data = FetchData(object = model_data, vars = c(paste0("Program.", 1:4),"treatment"))
colnames(data)[1:4] = paste(c("IFNa","TNFa-NFKb","HIF","CC"),"program")
# data = data[1:100, ]
col_dend = hclust(dist(data[,1:4],))
# col_dend = hclust(as.dist(cor(t(data[,1:4]))), method = "complete")
data = data[col_dend$order, ]
data$cell = 1:nrow(data)
d <- reshape2::melt(data, id = c("cell","treatment"))
cols <- c("NT" = "red", "OSI" = "green")
if ("res" %in% unique(data$treatment)) {
cols = c(cols,c("res" = "blue"))
}
p = ggplot(d, aes(x = cell, y = value, color = variable)) +
geom_rect(aes(xmin = cell, xmax = cell+1, fill = treatment),
ymin = 0, ymax = 1, alpha = 0.2,data = data, inherit.aes = F) + scale_fill_manual(values = cols)+
geom_line(size = 1) +
theme(axis.text.x = element_blank(),
axis.ticks.x = element_blank())+ggtitle(model)
print(p)
}
NA
NA
NA
```r
# modify dotplot to be without exponent of the expression
newDef <- deparse(DotPlot)
newDef[57] = \ return(mean(x = x))\
newDef[136] = \ yes = \\Identity\\
```r
# scale metagene and add to metadata
for (i in 1:ncol(all_metagenes)) {
metagene_metadata = all_metagenes[,i,drop=F] %>% scale()
xeno = AddMetaData(object = xeno,metadata = metagene_metadata,col.name = paste0(names(all_metagenes)[i],\_scaled\))
}
<!-- rnb-source-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin 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 -->
```r
```r
p = DotPlot.2(object = xeno, features = paste0(names(all_metagenes),\_scaled\),group.by = 'treatment',scale = F)+
guides(size = guide_legend(title = \Cells above average (%)\),color = guide_colorbar(title = \Average Score\))+ scale_x_discrete(labels= paste0(names(all_metagenes),\\n(\,c(\IFNa\,\TNFa-NFKb\,\HIF\,\Cell_Cycle\),\)\))+
scale_y_discrete(limits = c(\NT\,\OSI\))
p
<!-- rnb-source-end -->
<!-- rnb-output-begin eyJkYXRhIjoiV2FybmluZzogUmVtb3ZlZCA1IHJvd3MgY29udGFpbmluZyBtaXNzaW5nIHZhbHVlcyAoZ2VvbV9wb2ludCkuXG4ifQ== -->
Warning: Removed 5 rows containing missing values (geom_point).
<!-- rnb-output-end -->
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<img 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" />
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<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc2F2ZVJEUyhvYmplY3QgPSBhcy5ncm9iKHApLGZpbGUgPSBcXC4vRmlndXJlcy94ZW5vX05NRl9wcm9ncmFtc19kb3RwbG90LnJkc1xcKVxuYGBgXG5gYGAifQ== -->
```r
```r
saveRDS(object = as.grob(p),file = \./Figures/xeno_NMF_programs_dotplot.rds\)
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<!-- rnb-output-begin eyJkYXRhIjoiV2FybmluZzogUmVtb3ZlZCA1IHJvd3MgY29udGFpbmluZyBtaXNzaW5nIHZhbHVlcyAoZ2VvbV9wb2ludCkuXG4ifQ== -->
Warning: Removed 5 rows containing missing values (geom_point).
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# NMF programs regulation {.tabset}
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```r
```r
p = metagenes_mean_compare.2(dataset = xeno,prefix = \model\,pre_on = c(\NT\,\OSI\),test = \wilcox.test\,programs = colnames(all_metagenes)[3], return_list = T)
p = p[[1]]+xlab(\Model\)+ylab(paste( \Program 3 (Hypoxia)\n Z-score\))
p
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<img 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/>
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```r
```r
saveRDS(object = as.grob(p),file = \./Figures/xeno_NMF_hypoxia_split_violin.rds\)
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```r
```r
program_names = c(\IFNa\,\TNFa\, \cell cycle\,\EMT\)
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```r
```r
# for sup:
plt_list = metagenes_mean_compare.2(dataset = xeno,prefix = \model\,pre_on = c(\NT\,\OSI\),test = \wilcox.test\,programs = colnames(all_metagenes)[-c(3)],return_list = T)
for (i in 1:length(plt_list)) {
plt_list[[i]] = plt_list[[i]]+xlab(\Model\)+ylab(paste0( \Program \,i,\ (\,program_names[i],\)\n Z-score\))
}
p = ggarrange(plotlist = plt_list,common.legend = T)
p
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<img src="data:image/png;base64,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" />
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/>
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```r
```r
require(facefuns)
metagenes_mean_compare.2 = function(dataset,prefix = \\,pre_on = c(\OSI\,\NT\),axis.text.x = 11,test = \t.test\, programs = c(\Hypoxia\,\TNFa\,\Cell_cycle\),return_list = F){
plt.lst = list()
for (metegene in programs) {
#create data:
genes_by_tp = FetchData(object = dataset,vars = c(\orig.ident\,\treatment\,metegene)) %>% filter(treatment %in% pre_on) %>% as.data.frame() #mean expression
names(genes_by_tp)[3] = \Metagene_mean\
fm <- as.formula(paste(\Metagene_mean\, \~\, \treatment\)) #make formula to plot
#plot and split by patient:
stat.test = compare_means(formula = fm ,data = genes_by_tp,method = test,group.by = \orig.ident\,p.adjust.method = \fdr\)%>% # Add pairwise comparisons p-value
dplyr::filter(group1 == pre_on[1] & group2 == pre_on[2]) #filter for pre vs on treatment only
stat.test$p.format =stat.test$p.adj #modift 0 pvalue to be lowest possible float
stat.test$p.format[!stat.test$p.format == 0 ] <- paste(\=\,stat.test$p.format[!stat.test$p.format == 0 ])
stat.test$p.format[stat.test$p.format == 0 ] <- paste(\<\,.Machine$double.xmin %>% signif(digits = 3))
plt = ggplot(genes_by_tp, aes(x = orig.ident, y = Metagene_mean,fill = treatment)) + geom_split_violin(scale = 'width')+ylab(metegene)+
geom_boxplot(width = 0.25, notch = FALSE, notchwidth = .4, outlier.shape = NA, coef=0)+
ylim(min(genes_by_tp$Metagene_mean),max(genes_by_tp$Metagene_mean)*1.25)
plt = plt +stat_pvalue_manual(stat.test, label = \p {p.format}\, #add p value
y.position = max(genes_by_tp$Metagene_mean)*1.08,x = \orig.ident\,inherit.aes = F,size = 3.3) # set position at the top value
plt.lst[[metegene]] = plt
if (!return_list) {
print(plt)
}
}
if (return_list) {
return(plt.lst)
}
}
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```r
```r
saveRDS(object = as.grob(p),file = \./Figures/xeno_patient_hifTargets_split_violin.rds\)
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```r
```r
p = DoHeatmap(object = xeno,features = hif_targets,group.by = \treatment\)
<!-- rnb-source-end -->
<!-- rnb-output-begin eyJkYXRhIjoiV2FybmluZyBpbiBEb0hlYXRtYXAob2JqZWN0ID0geGVubywgZmVhdHVyZXMgPSBoaWZfdGFyZ2V0cywgZ3JvdXAuYnkgPSBcXHRyZWF0bWVudFxcKSA6XG4gIFRoZSBmb2xsb3dpbmcgZmVhdHVyZXMgd2VyZSBvbWl0dGVkIGFzIHRoZXkgd2VyZSBub3QgZm91bmQgaW4gdGhlIHNjYWxlLmRhdGEgc2xvdCBmb3IgdGhlIFJOQSBhc3NheTogQUwxMDk5NDYuMSwgTkxSUDNQMSwgTUlSMjEwLCBBTDE1ODIwMS4xLCBMREhBUDUsIEJOSVAzUDEsIEFLNFAxXG4ifQ== -->
Warning in DoHeatmap(object = xeno, features = hif_targets, group.by = ) : The following features were omitted as they were not found in the scale.data slot for the RNA assay: AL109946.1, NLRP3P1, MIR210, AL158201.1, LDHAP5, BNIP3P1, AK4P1
<!-- rnb-output-end -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxucFxuXG5gYGBcbmBgYCJ9 -->
```r
```r
p
<!-- rnb-source-end -->
<!-- rnb-plot-begin -->
<img src="data:image/png;base64,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" />
<!-- rnb-plot-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
# known genes score
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuXG5yYW5rZWRfdmVjID0gZ2VwX3Njb3Jlc1ssMV0gJT4lIHNldE5hbWVzKHJvd25hbWVzKGdlcF9zY29yZXMpKSAlPiUgc29ydChkZWNyZWFzaW5nID0gVFJVRSkgXG5oeXBfb2JqIDwtIGh5cGVSX2Znc2VhKHJhbmtlZF92ZWMsIGdlbmVzZXRzKVxubGVfZ2VuZXNfaWZuYSA9ICBoeXBfb2JqJGRhdGEgJT4lIGZpbHRlcihsYWJlbCA9PSBcXEhBTExNQVJLX0lOVEVSRkVST05fQUxQSEFfUkVTUE9OU0VcXCkgJT4lIHB1bGwoXFxsZVxcKSAlPiUgc3Ryc3BsaXQoXFxcbmBgYCJ9 -->
```r
```r
ranked_vec = gep_scores[,1] %>% setNames(rownames(gep_scores)) %>% sort(decreasing = TRUE)
hyp_obj <- hypeR_fgsea(ranked_vec, genesets)
le_genes_ifna = hyp_obj$data %>% filter(label == \HALLMARK_INTERFERON_ALPHA_RESPONSE\) %>% pull(\le\) %>% strsplit(\
```r
gene_list = list(IFNa_genes = genesets$HALLMARK_INTERFERON_ALPHA_RESPONSE, TNFa_genes = genesets$HALLMARK_TNFA_SIGNALING_VIA_NFKB, hif_targets = hif_targets,E2F_genes = genesets$HALLMARK_E2F_TARGETS)
patient_var = \orig.ident\
# xeno = ScaleData(object = xeno,features = unlist(gene_list))
for (i in seq_along(gene_list)) {
genes = gene_list[[i]]
name = names(gene_list)[i]
genes = genes[genes %in% rownames(xeno)]
scores = FetchData(object = xeno,vars = c(genes,patient_var))
scores = scores %>% mutate(r = rowMeans(dplyr::select_at(scores,vars(-contains(patient_var))))) %>% # z score every patient separately
group_by_at(patient_var) %>% summarise(r = scale(r)) %>% pull(r) %>% as.data.frame()
print(name)
xeno %<>% AddMetaData(metadata = scores,col.name = name)
}
<!-- rnb-source-end -->
<!-- rnb-output-begin 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 -->
summarise() has grouped output by ‘orig.ident’. You can
override using the .groups argument. [1] _genes
summarise() has grouped output by ‘orig.ident’. You can
override using the .groups argument. [1] _genes
summarise() has grouped output by ‘orig.ident’. You can
override using the .groups argument. [1] _targets
summarise() has grouped output by ‘orig.ident’. You can
override using the .groups argument. [1] 2F_genes
<!-- rnb-output-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuXG5wMSA9IG1ldGFnZW5lc192aW9saW5fY29tcGFyZShkYXRhc2V0ID0geGVubyxwcmVmaXggPSBcXE1vZGVsXFwscHJlX29uID0gYyhcXE5UXFwsXFxPU0lcXCksdGVzdCA9IFxcd2lsY294LnRlc3RcXCxwcm9ncmFtcyA9IFxcaGlmX3RhcmdldHNcXCwgcmV0dXJuX2xpc3QgPSBUKVtbMV1dXG5wMVxuYGBgXG5gYGAifQ== -->
```r
```r
p1 = metagenes_violin_compare(dataset = xeno,prefix = \Model\,pre_on = c(\NT\,\OSI\),test = \wilcox.test\,programs = \hif_targets\, return_list = T)[[1]]
p1
<!-- rnb-source-end -->
<!-- rnb-plot-begin -->
<img 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" />
<!-- rnb-plot-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc2F2ZVJEUyhvYmplY3QgPSBhcy5ncm9iKHAxKSxmaWxlID0gXFwuL0ZpZ3VyZXMveGVub19oaWZfdGFyZ2V0c192aW9saW4ucmRzXFwpXG5gYGBcbmBgYCJ9 -->
```r
```r
saveRDS(object = as.grob(p1),file = \./Figures/xeno_hif_targets_violin.rds\)
<!-- rnb-source-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuXG5wID0gRG90UGxvdC4yKG9iamVjdCA9IHhlbm8sIGZlYXR1cmVzID0gICBuYW1lcyhnZW5lX2xpc3QpLGdyb3VwLmJ5ICA9ICd0cmVhdG1lbnQnLHNjYWxlID0gRikrXG4gIGd1aWRlcyhzaXplID0gZ3VpZGVfbGVnZW5kKHRpdGxlID0gXFxDZWxscyBhYm92ZSBhdmVyYWdlICglKVxcKSxjb2xvciA9IGd1aWRlX2NvbG9yYmFyKHRpdGxlID0gXFxBdmVyYWdlIFNjb3JlXFwpKVxucFxuYGBgXG5gYGAifQ== -->
```r
```r
p = DotPlot.2(object = xeno, features = names(gene_list),group.by = 'treatment',scale = F)+
guides(size = guide_legend(title = \Cells above average (%)\),color = guide_colorbar(title = \Average Score\))
p
<!-- rnb-source-end -->
<!-- rnb-plot-begin -->
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/>
<!-- rnb-plot-end -->
<!-- rnb-chunk-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc2F2ZVJEUyhvYmplY3QgPSBhcy5ncm9iKHApLGZpbGUgPSBcXC4vRmlndXJlcy94ZW5vX3NpZ250dXJlc19kb3RwbG90LnJkc1xcKVxuYGBgXG5gYGAifQ== -->
```r
```r
saveRDS(object = as.grob(p),file = \./Figures/xeno_signtures_dotplot.rds\)
<!-- rnb-source-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
# new
# known genes signatures log TPM
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuXG5nZW5lX2xpc3QgPSBsaXN0KElGTmFfZ2VuZXMgPSBnZW5lc2V0cyRIQUxMTUFSS19JTlRFUkZFUk9OX0FMUEhBX1JFU1BPTlNFLCBUTkZhX2dlbmVzID0gZ2VuZXNldHMkSEFMTE1BUktfVE5GQV9TSUdOQUxJTkdfVklBX05GS0IsIGhpZl90YXJnZXRzID0gaGlmX3RhcmdldHMsRTJGX2dlbmVzID0gZ2VuZXNldHMkSEFMTE1BUktfRTJGX1RBUkdFVFMpXG5wYXRpZW50X3ZhciA9IFxcb3JpZy5pZGVudFxcXG5mb3IgKGkgaW4gc2VxX2Fsb25nKGdlbmVfbGlzdCkpIHtcbiAgZ2VuZXMgPSBnZW5lX2xpc3RbW2ldXVxuICBuYW1lID0gbmFtZXMoZ2VuZV9saXN0KVtpXVxuICBnZW5lcyA9IGdlbmVzW2dlbmVzICVpbiUgcm93bmFtZXMoeGVubyldXG4gIHNjb3JlcyA9IEZldGNoRGF0YShvYmplY3QgPSB4ZW5vLHZhcnMgPSBjKGdlbmVzLHBhdGllbnRfdmFyKSlcbiAgc2NvcmVzID0gc2NvcmVzICU+JSBtdXRhdGUociA9IHJvd01lYW5zKGRwbHlyOjpzZWxlY3RfYXQoc2NvcmVzLHZhcnMoLWNvbnRhaW5zKHBhdGllbnRfdmFyKSkpKSkgJT4lICMgeiBzY29yZSBldmVyeSBwYXRpZW50IHNlcGFyYXRlbHkgXG4gICAgZ3JvdXBfYnlfYXQocGF0aWVudF92YXIpICU+JSBzdW1tYXJpc2UociA9IHNjYWxlKHIpKSAlPiUgcHVsbChyKSAlPiUgYXMuZGF0YS5mcmFtZSgpIFxuICBwcmludChuYW1lKVxuICB4ZW5vICU8PiUgQWRkTWV0YURhdGEobWV0YWRhdGEgPSBzY29yZXMsY29sLm5hbWUgPSBuYW1lKVxufVxuYGBgXG5gYGAifQ== -->
```r
```r
gene_list = list(IFNa_genes = genesets$HALLMARK_INTERFERON_ALPHA_RESPONSE, TNFa_genes = genesets$HALLMARK_TNFA_SIGNALING_VIA_NFKB, hif_targets = hif_targets,E2F_genes = genesets$HALLMARK_E2F_TARGETS)
patient_var = \orig.ident\
for (i in seq_along(gene_list)) {
genes = gene_list[[i]]
name = names(gene_list)[i]
genes = genes[genes %in% rownames(xeno)]
scores = FetchData(object = xeno,vars = c(genes,patient_var))
scores = scores %>% mutate(r = rowMeans(dplyr::select_at(scores,vars(-contains(patient_var))))) %>% # z score every patient separately
group_by_at(patient_var) %>% summarise(r = scale(r)) %>% pull(r) %>% as.data.frame()
print(name)
xeno %<>% AddMetaData(metadata = scores,col.name = name)
}
<!-- rnb-source-end -->
<!-- rnb-output-begin 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 -->
summarise() has grouped output by ‘orig.ident’. You can
override using the .groups argument. [1] _genes
summarise() has grouped output by ‘orig.ident’. You can
override using the .groups argument. [1] _genes
summarise() has grouped output by ‘orig.ident’. You can
override using the .groups argument. [1] _targets
summarise() has grouped output by ‘orig.ident’. You can
override using the .groups argument. [1] 2F_genes
<!-- rnb-output-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
## violin
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxucDIgPSBtZXRhZ2VuZXNfdmlvbGluX2NvbXBhcmUoZGF0YXNldCA9IHhlbm8scHJlZml4ID0gXFxNb2Rla1xcLHByZV9vbiA9IGMoXFxPU0lcXCxcXE5UXFwpLHRlc3QgPSBcXHdpbGNveC50ZXN0XFwscHJvZ3JhbXMgPSBcXGhpZl90YXJnZXRzXFwsIHJldHVybl9saXN0ID0gVClbWzFdXSArIHhsYWIoXFxNb2RlbFxcKStcbiAgeWxhYihcXEhJRiB0YXJnZXRzIFotc2NvcmVcXClcbnAyXG5gYGBcbmBgYCJ9 -->
```r
```r
p2 = metagenes_violin_compare(dataset = xeno,prefix = \Modek\,pre_on = c(\OSI\,\NT\),test = \wilcox.test\,programs = \hif_targets\, return_list = T)[[1]] + xlab(\Model\)+
ylab(\HIF targets Z-score\)
p2
<!-- rnb-source-end -->
<!-- rnb-plot-begin -->
<img 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" />
<!-- rnb-plot-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc2F2ZVJEUyhvYmplY3QgPSBhcy5ncm9iKHAyKSxmaWxlID0gXFwuL0ZpZ3VyZXMveGVub19oaWZfdGFyZ2V0c192aW9saW4ucmRzXFwpXG5gYGBcbmBgYCJ9 -->
```r
```r
saveRDS(object = as.grob(p2),file = \./Figures/xeno_hif_targets_violin.rds\)
<!-- rnb-source-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
## Dotplot
<!-- rnb-text-end -->
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<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuIyBzY2FsZSBmb3IgYWxsIGNlbGxzXG5mb3IgKGkgaW4gc2VxX2Fsb25nKGdlbmVfbGlzdCkpIHtcbiAgZ2VuZXMgPSBnZW5lX2xpc3RbW2ldXVxuICBuYW1lID0gcGFzdGUwKG5hbWVzKGdlbmVfbGlzdClbaV0sXFxfc2NhbGVkXFwpXG4gIGdlbmVzID0gZ2VuZXNbZ2VuZXMgJWluJSByb3duYW1lcyh4ZW5vKV1cbiAgc2NvcmVzID0gRmV0Y2hEYXRhKG9iamVjdCA9IHhlbm8sdmFycyA9IGMoZ2VuZXMpKSAlPiUgcm93TWVhbnMoKSAlPiUgc2NhbGUoKVxuICB4ZW5vICU8PiUgQWRkTWV0YURhdGEobWV0YWRhdGEgPSBzY29yZXMsY29sLm5hbWUgPSBuYW1lKVxufVxuYGBgXG5gYGAifQ== -->
```r
```r
# scale for all cells
for (i in seq_along(gene_list)) {
genes = gene_list[[i]]
name = paste0(names(gene_list)[i],\_scaled\)
genes = genes[genes %in% rownames(xeno)]
scores = FetchData(object = xeno,vars = c(genes)) %>% rowMeans() %>% scale()
xeno %<>% AddMetaData(metadata = scores,col.name = name)
}
<!-- rnb-source-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
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<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuIyBtb2RpZnkgZG90cGxvdCB0byBiZSB3aXRob3V0IGV4cG9uZW50IG9mIHRoZSBleHByZXNzaW9uXG5uZXdEZWYgPC0gZGVwYXJzZShEb3RQbG90KVxubmV3RGVmWzU3XSA9ICBcXCAgICAgICAgICAgIHJldHVybihtZWFuKHggPSAgeCkpXFwgIyByZW1vdmUgZXhwb25lbnRcbm5ld0RlZlsxMzZdID0gIFxcICAgICAgICAgICAgeWVzID0gXFxcXElkZW50aXR5XFxcXFxuYGBgIn0= -->
```r
```r
# modify dotplot to be without exponent of the expression
newDef <- deparse(DotPlot)
newDef[57] = \ return(mean(x = x))\ # remove exponent
newDef[136] = \ yes = \\Identity\\
```r
p = DotPlot.2(object = xeno, features = paste0(names(gene_list),\_scaled\),group.by = 'treatment',scale = F)+
guides(size = guide_legend(title = \Cells above average (%)\),
color = guide_colorbar(title = \Average Score\))+
scale_y_discrete(limits = c(\NT\,\OSI\))+
scale_x_discrete(labels= names(gene_list))
p
<!-- rnb-source-end -->
<!-- rnb-output-begin eyJkYXRhIjoiV2FybmluZzogUmVtb3ZlZCA0IHJvd3MgY29udGFpbmluZyBtaXNzaW5nIHZhbHVlcyAoZ2VvbV9wb2ludCkuXG4ifQ== -->
Warning: Removed 4 rows containing missing values (geom_point).
<!-- rnb-output-end -->
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<img 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" />
<!-- rnb-plot-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc2F2ZVJEUyhvYmplY3QgPSBhcy5ncm9iKHApLGZpbGUgPSBcXC4vRmlndXJlcy94ZW5vX3NpZ250dXJlc19kb3RwbG90LnJkc1xcKVxuYGBgXG5gYGAifQ== -->
```r
```r
saveRDS(object = as.grob(p),file = \./Figures/xeno_signtures_dotplot.rds\)
<!-- rnb-source-end -->
<!-- rnb-output-begin eyJkYXRhIjoiV2FybmluZzogUmVtb3ZlZCA0IHJvd3MgY29udGFpbmluZyBtaXNzaW5nIHZhbHVlcyAoZ2VvbV9wb2ludCkuXG4ifQ== -->
Warning: Removed 4 rows containing missing values (geom_point).
<!-- rnb-output-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
# known genes signatures TPM
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin 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 -->
```r
```r
patient_var = \orig.ident\
for (i in seq_along(gene_list)) {
genes = gene_list[[i]]
name = names(gene_list)[i]
genes = genes[genes %in% rownames(xeno)]
scores = FetchData(object = xeno,vars = c(genes,patient_var))
scores[,1:(ncol(scores)-1)] = (2^scores[,1:(ncol(scores)-1)])-1 # log(tpm+1)to tpm without last col (patients idents)
scores = scores %>% mutate(r = rowMeans(dplyr::select_at(scores,vars(-contains(patient_var))))) %>% # z score every patient separately
group_by_at(patient_var) %>% summarise(r = scale(r)) %>% pull(r) %>% as.data.frame()
print(name)
xeno %<>% AddMetaData(metadata = scores,col.name = name)
}
<!-- rnb-source-end -->
<!-- rnb-output-begin 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 -->
summarise() has grouped output by ‘orig.ident’. You can
override using the .groups argument. [1] _genes
summarise() has grouped output by ‘orig.ident’. You can
override using the .groups argument. [1] _genes
summarise() has grouped output by ‘orig.ident’. You can
override using the .groups argument. [1] _targets
summarise() has grouped output by ‘orig.ident’. You can
override using the .groups argument. [1] 2F_genes
<!-- rnb-output-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
## violin
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxucDIgPSBtZXRhZ2VuZXNfdmlvbGluX2NvbXBhcmUoZGF0YXNldCA9IHhlbm8scHJlZml4ID0gXFxNb2RlbFxcLHByZV9vbiA9IGMoXFxOVFxcLFxcT1NJXFwpLHRlc3QgPSBcXHdpbGNveC50ZXN0XFwscHJvZ3JhbXMgPSBcXGhpZl90YXJnZXRzXFwsIHJldHVybl9saXN0ID0gVClbWzFdXSArIHhsYWIoXFxNb2RlbFxcKStcbiAgeWxhYihcXEhJRiB0YXJnZXRzIFotc2NvcmVcXClcbnAyXG5gYGBcbmBgYCJ9 -->
```r
```r
p2 = metagenes_violin_compare(dataset = xeno,prefix = \Model\,pre_on = c(\NT\,\OSI\),test = \wilcox.test\,programs = \hif_targets\, return_list = T)[[1]] + xlab(\Model\)+
ylab(\HIF targets Z-score\)
p2
<!-- rnb-source-end -->
<!-- rnb-plot-begin -->
<img src="data:image/png;base64,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" />
<!-- rnb-plot-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
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<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc2F2ZVJEUyhvYmplY3QgPSBhcy5ncm9iKHAyKSxmaWxlID0gXFwuL0ZpZ3VyZXMveGVub19oaWZfdGFyZ2V0c19UUE1fdmlvbGluLnJkc1xcKVxuYGBgXG5gYGAifQ== -->
```r
```r
saveRDS(object = as.grob(p2),file = \./Figures/xeno_hif_targets_TPM_violin.rds\)
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<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
## Dotplot
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin 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 -->
```r
```r
# scale for all cells
for (i in seq_along(gene_list)) {
genes = gene_list[[i]]
name = paste0(names(gene_list)[i],\_scaled\)
genes = genes[genes %in% rownames(xeno)]
scores = FetchData(object = xeno,vars = c(genes))
scores = (2^scores)-1
scores = scores %>% rowMeans() %>% scale() #log(tpm+1)to tpm
xeno %<>% AddMetaData(metadata = scores,col.name = name)
}
<!-- rnb-source-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
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<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuXG5wID0gRG90UGxvdC4yKG9iamVjdCA9IHhlbm8sIGZlYXR1cmVzID0gIHBhc3RlMChuYW1lcyhnZW5lX2xpc3QpLFxcX3NjYWxlZFxcKSxncm91cC5ieSAgPSAndHJlYXRtZW50JyxzY2FsZSA9IEYpK1xuICBndWlkZXMoc2l6ZSA9IGd1aWRlX2xlZ2VuZCh0aXRsZSA9IFxcQ2VsbHMgYWJvdmUgYXZlcmFnZSAoJSlcXCksXG4gICAgICAgICBjb2xvciA9IGd1aWRlX2NvbG9yYmFyKHRpdGxlID0gXFxBdmVyYWdlIFNjb3JlXFwpKSsgXG4gIHNjYWxlX3lfZGlzY3JldGUobGltaXRzID0gYyhcXE5UXFwsXFxPU0lcXCkpK1xuICBzY2FsZV94X2Rpc2NyZXRlKGxhYmVscz0gbmFtZXMoZ2VuZV9saXN0KSlcbnBcbmBgYFxuYGBgIn0= -->
```r
```r
p = DotPlot.2(object = xeno, features = paste0(names(gene_list),\_scaled\),group.by = 'treatment',scale = F)+
guides(size = guide_legend(title = \Cells above average (%)\),
color = guide_colorbar(title = \Average Score\))+
scale_y_discrete(limits = c(\NT\,\OSI\))+
scale_x_discrete(labels= names(gene_list))
p
<!-- rnb-source-end -->
<!-- rnb-output-begin eyJkYXRhIjoiV2FybmluZzogUmVtb3ZlZCA0IHJvd3MgY29udGFpbmluZyBtaXNzaW5nIHZhbHVlcyAoZ2VvbV9wb2ludCkuXG4ifQ== -->
Warning: Removed 4 rows containing missing values (geom_point).
<!-- rnb-output-end -->
<!-- rnb-plot-begin -->
<img 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" />
<!-- rnb-plot-end -->
<!-- rnb-chunk-end -->
<!-- rnb-text-begin -->
<!-- rnb-text-end -->
<!-- rnb-chunk-begin -->
<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuc2F2ZVJEUyhvYmplY3QgPSBhcy5ncm9iKHApLGZpbGUgPSBcXC4vRmlndXJlcy94ZW5vX3NpZ250dXJlc19UUE1fZG90cGxvdC5yZHNcXClcbmBgYFxuYGBgIn0= -->
```r
```r
saveRDS(object = as.grob(p),file = \./Figures/xeno_signtures_TPM_dotplot.rds\)
<!-- rnb-source-end -->
<!-- rnb-output-begin eyJkYXRhIjoiV2FybmluZzogUmVtb3ZlZCA0IHJvd3MgY29udGFpbmluZyBtaXNzaW5nIHZhbHVlcyAoZ2VvbV9wb2ludCkuXG4ifQ== -->
Warning: Removed 4 rows containing missing values (geom_point). ```